@stdlib/math-base-ops-addf

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addf

Compute the sum of two single-precision floating-point numbers.

Installation

npm install @stdlib/math-base-ops-addf

Usage

var addf = require( '@stdlib/math-base-ops-addf' );

addf( x, y )

Computes the sum of two single-precision floating-point numbers.

var v = addf( -1.0, 5.0 );
// returns 4.0

v = addf( 2.0, 5.0 );
// returns 7.0

v = addf( 0.0, 5.0 );
// returns 5.0

v = addf( -0.0, 0.0 );
// returns 0.0

v = addf( NaN, NaN );
// returns NaN

Examples

var rand = require( '@stdlib/random-base-discrete-uniform' );
var addf = require( '@stdlib/math-base-ops-addf' );

var x;
var y;
var i;

for ( i = 0; i < 100; i++ ) {
    x = rand( -50, 50 );
    y = rand( -50, 50 );
    console.log( '%d + %d = %d', x, y, addf( x, y ) );
}

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C APIs

Usage

#include "stdlib/math/base/ops/addf.h"

stdlib_base_addf( x, y )

Computes the sum of two single-precision floating-point numbers.

float v = stdlib_base_addf( -5.0f, 2.0f );
// returns -3.0f

The function accepts the following arguments:

• x: [in] float first input value.
• y: [in] float second input value.

float stdlib_base_addf( const float x, const float y );

Examples

#include "stdlib/math/base/ops/addf.h"
#include <stdio.h>

int main( void ) {
    const float x[] = { 3.14f, -3.14f, 0.0f, 0.0f/0.0f };
    const float y[] = { 3.14f, -3.14f, -0.0f, 0.0f/0.0f };

    float z;
    int i;
    for ( i = 0; i < 4; i++ ) {
        z = stdlib_base_addf( x[ i ], y[ i ] );
        printf( "%f + %f = %f\n", x[ i ], y[ i ], z );
    }
}

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See Also

• @stdlib/math-base/ops/add: compute the sum of two double-precision floating-point numbers.
• @stdlib/math-base/ops/divf: divide two single-precision floating-point numbers.
• @stdlib/math-base/ops/mulf: multiply two single-precision floating-point numbers.
• @stdlib/math-base/ops/subf: subtract two single-precision floating-point numbers.

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Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

Community

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.